From designing production-grade RAG pipelines to evaluating frontier models for enterprise use cases, my work is grounded in real engineering and practical outcomes, not hype.
Retrieval-Augmented Generation — RAG pipelines, chunking strategies, embedding selection, reranking, and evaluation frameworks.
Agentic Systems — Multi-step agents with tool use, state management, memory, and orchestration.
Model Evaluation — Rigorous eval frameworks for benchmarking LLMs against specific use cases and detecting regressions.
Enterprise AI Adoption — Governance, change management, and building internal AI capability from scratch.